def setupACDCDatabase(self, collectionName, taskPath,
user, group):
"""
_setupACDCDatabase_
Populate an ACDC database with bogus records
associated to certain collection name, user and task path.
"""
acdcServer = CouchService(url = self.testInit.couchUrl,
database = "%s_acdc" % self.couchDBName)
owner = acdcServer.newOwner(group, user)
testCollection = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = collectionName)
testCollection.setOwner(owner)
testFileset = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = taskPath)
testCollection.addFileset(testFileset)
testFiles = []
for _ in range(5):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFiles.append(testFile)
testFileset.add(testFiles)
def failedJobs(self, failedJobs, useMask = True):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow, owner and group
attributes assigned to them.
"""
for job in failedJobs:
try:
taskName = job['task']
workflow = job['workflow']
except KeyError as ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
coll = CouchCollection(database = self.database, url = self.url,
name = workflow,
type = CollectionTypes.DataCollection)
owner = self.newOwner(job.get("group", "cmsdataops"),
job.get("owner", "cmsdataops"))
coll.setOwner(owner)
fileset = CouchFileset(database = self.database, url = self.url,
name = taskName)
coll.addFileset(fileset)
if useMask:
fileset.add(files = job['input_files'], mask = job['mask'])
else:
fileset.add(files = job['input_files'])
return
def testListFiles(self):
"""
_testListFiles_
Verify that the files iterator works correctly.
"""
testCollection = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollection.setOwner(self.owner)
testFileset = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFileset")
testCollection.addFileset(testFileset)
testFiles = {}
for i in range(5):
lfn = makeUUID()
testFile = File(lfn=lfn,
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFiles[lfn] = testFile
testFileset.add([testFile])
for file in testFileset.listFiles():
self.assertTrue(file["lfn"] in testFiles.keys(),
"Error: File missing.")
self.assertEqual(file["events"], testFiles[file["lfn"]]["events"],
"Error: Wrong number of events.")
self.assertEqual(file["size"], testFiles[file["lfn"]]["size"],
"Error: Wrong file size.")
return
def testFileset(self):
"""
_testFileset_
Verify that converting an ACDC fileset to a DataStructs fileset works
correctly.
"""
testCollection = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testFileset = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFileset")
testCollection.addFileset(testFileset)
testFiles = {}
for i in range(5):
lfn = makeUUID()
testFile = File(lfn=lfn,
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFiles[lfn] = testFile
testFileset.add([testFile])
for file in testFileset.fileset().files:
self.assertTrue(file["lfn"] in testFiles, "Error: File missing.")
self.assertEqual(file["events"], testFiles[file["lfn"]]["events"],
"Error: Wrong number of events.")
self.assertEqual(file["size"], testFiles[file["lfn"]]["size"],
"Error: Wrong file size.")
return
def setupACDCDatabase(self, collectionName, taskPath,
user, group):
"""
_setupACDCDatabase_
Populate an ACDC database with bogus records
associated to certain collection name, user and task path.
"""
acdcServer = CouchService(url = self.testInit.couchUrl,
database = "%s_acdc" % self.couchDBName)
owner = acdcServer.newOwner(group, user)
testCollection = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = collectionName)
testCollection.setOwner(owner)
testFileset = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = taskPath)
testCollection.addFileset(testFileset)
testFiles = []
for _ in range(5):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFiles.append(testFile)
testFileset.add(testFiles)
def failedJobs(self, failedJobs):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow, owner and group
attributes assigned to them.
"""
for job in failedJobs:
try:
taskName = job['task']
workflow = job['workflow']
except KeyError, ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (
str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
coll = CouchCollection(database=self.database,
url=self.url,
name=workflow,
type=CollectionTypes.DataCollection)
owner = self.newOwner(job.get("group", "cmsdataops"),
job.get("owner", "cmsdataops"))
coll.setOwner(owner)
fileset = CouchFileset(database=self.database,
url=self.url,
name=taskName)
coll.addFileset(fileset)
fileset.add(files=job['input_files'], mask=job['mask'])
def testFileset(self):
"""
_testFileset_
Verify that converting an ACDC fileset to a DataStructs fileset works
correctly.
"""
testCollection = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollection.setOwner(self.owner)
testFileset = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFileset")
testCollection.addFileset(testFileset)
testFiles = {}
for i in range(5):
lfn = makeUUID()
testFile = File(lfn = lfn, size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFiles[lfn] = testFile
testFileset.add([testFile])
for file in testFileset.fileset().files:
self.assertTrue(file["lfn"] in testFiles.keys(),
"Error: File missing.")
self.assertEqual(file["events"], testFiles[file["lfn"]]["events"],
"Error: Wrong number of events.")
self.assertEqual(file["size"], testFiles[file["lfn"]]["size"],
"Error: Wrong file size.")
return
def createFilesetFromDBS(self,
collection,
filesetName,
dbsURL,
dataset,
mask=None):
"""
_createFilesetFromDBS_
Get info from DBS, apply mask (filter) and create a fileset
"""
fileSet = CouchFileset(database=self.database,
url=self.url,
name=filesetName)
fileSet.setCollection(collection)
files = []
blockLocations = {}
dbsReader = DBSReader(dbsURL, version="DBS_2_0_9", mode="GET")
dbsResults = dbsReader.dbs.listFiles(
path=dataset, retriveList=["retrive_lumi", "retrive_run"])
logging.info('Found %s files from DBS' % len(dbsResults))
for dbsResult in dbsResults:
blockName = dbsResult["Block"]["Name"]
if not blockName in blockLocations:
blockLocations[blockName] = dbsReader.listFileBlockLocation(
blockName)
file = File(lfn=dbsResult["LogicalFileName"],
size=dbsResult["FileSize"],
merged=True,
events=dbsResult["NumberOfEvents"],
locations=blockLocations[blockName])
runs = {}
for lumi in dbsResult["LumiList"]:
runNumber = lumi['RunNumber']
runString = str(runNumber)
lumiNumber = lumi["LumiSectionNumber"]
if runString in runs:
runs[runString].lumis.append(lumiNumber)
else:
runs[runString] = Run(runNumber, lumiNumber)
for run in runs.values():
file.addRun(run)
files.append(file)
logging.info('Uploading %s files in fileset' % len(files))
fileList = fileSet.add(files, mask)
return fileSet, fileList
def failedJobs(self, failedJobs, useMask=True):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow attributes assigned to them.
"""
# first we sort the list of dictionary by two keys: workflow then task
failedJobs.sort(key=itemgetter('workflow'))
failedJobs.sort(key=itemgetter('task'))
previousWorkflow = ""
previousTask = ""
for job in failedJobs:
try:
workflow = job['workflow']
taskName = job['task']
except KeyError as ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
if workflow != previousWorkflow:
coll = CouchCollection(database=self.database, url=self.url,
name=workflow,
type=CollectionTypes.DataCollection)
if taskName != previousTask:
fileset = CouchFileset(database=self.database, url=self.url,
name=taskName)
coll.addFileset(fileset)
inputFiles = job['input_files']
for fInfo in inputFiles:
if int(fInfo["merged"]) == 1: # Looks like Oracle and MySQL return diff type
fInfo["parents"] = []
elif fInfo.get("parents", []):
firstParent = next(iter(fInfo["parents"]))
if "/store/unmerged/" in firstParent:
# parents and input files are unmerged files - need to find merged ascendant
fInfo["parents"] = list(getMergedParents(fInfo["parents"]))
elif "MCFakeFile" in firstParent:
fInfo["parents"] = []
# other case, fInfo["parents"] all or merged parents
if useMask:
fileset.add(files=inputFiles, mask=job['mask'])
else:
fileset.add(files=inputFiles)
previousWorkflow = workflow
previousTask = taskName
return
def run(self):
lfn = self.lfn
if self.v:
print "Starting for",lfn
now = time.mktime(time.gmtime())
fileInfo = self.fi
requestObject = self.ro
fileRuns = {}
acdcCouchUrl = self.ac
acdcCouchDb = self.acd
filesetName = self.fsn
collection = self.c
self.lumis = 0
self.files = 0
for run in fileInfo['runs']:
if run in requestObject['lumis']:
for lumi in fileInfo['runs'][run][0]:
if lumi in requestObject['lumis'][run]:
if run not in fileRuns:
fileRuns[run] = []
fileRuns[run].append(lumi)
self.lumis += 1
if fileRuns:
self.files += 1
fileset = CouchFileset(**{"url": acdcCouchUrl,
"database": acdcCouchDb,
"name": filesetName})
fileset.setCollection(collection)
acdcRuns = []
for run in fileRuns:
runObject = {}
runObject['run_number'] = int(run)
runObject['lumis'] = fileRuns[run]
acdcRuns.append(runObject)
acdcFile = {"lfn": lfn,
"first_event": 0,
"last_event": 0,
"checksums": {},
"size": fileInfo["size"],
"events": fileInfo["events"],
"merged": 1,
"parents": fileInfo["parents"],
"locations": fileInfo["locations"],
"runs": acdcRuns
}
#
fileset.makeFilelist({lfn: acdcFile})
if self.v:
print time.mktime(time.gmtime()) - now,"[s] for makeFilelist",lfn
def createFilesetFromDBS(self, collection, filesetName, dbsURL, dataset, mask=None):
"""
_createFilesetFromDBS_
Get info from DBS, apply mask (filter) and create a fileset
"""
fileSet = CouchFileset(database=self.database, url=self.url, name=filesetName)
fileSet.setCollection(collection)
files = []
blockLocations = {}
dbsReader = DBSReader(dbsURL, version="DBS_2_0_9", mode="GET")
dbsResults = dbsReader.dbs.listFiles(path=dataset, retriveList=["retrive_lumi", "retrive_run"])
logging.info("Found %s files from DBS" % len(dbsResults))
for dbsResult in dbsResults:
blockName = dbsResult["Block"]["Name"]
if not blockName in blockLocations:
blockLocations[blockName] = dbsReader.listFileBlockLocation(blockName)
file = File(
lfn=dbsResult["LogicalFileName"],
size=dbsResult["FileSize"],
merged=True,
events=dbsResult["NumberOfEvents"],
locations=blockLocations[blockName],
)
runs = {}
for lumi in dbsResult["LumiList"]:
runNumber = lumi["RunNumber"]
runString = str(runNumber)
lumiNumber = lumi["LumiSectionNumber"]
if runString in runs:
runs[runString].lumis.append(lumiNumber)
else:
runs[runString] = Run(runNumber, lumiNumber)
for run in runs.values():
file.addRun(run)
files.append(file)
logging.info("Uploading %s files in fileset" % len(files))
fileList = fileSet.add(files, mask)
return fileSet, fileList
def populate(self):
"""
_populate_
The load the collection and all filesets and files out of couch.
"""
params = {"startkey": [self.owner.group.name, self.owner.name,
self.name],
"endkey": [self.owner.group.name, self.owner.name,
self.name, {}],
"reduce": True, "group_level": 4}
result = self.couchdb.loadView("ACDC", "owner_coll_fileset_docs",
params)
self["filesets"] = []
for row in result["rows"]:
fileset = CouchFileset(database = self.database, url = self.url,
name = row["key"][3])
self.addFileset(fileset)
fileset.populate()
return
def failedJobs(self, failedJobs, useMask=True):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow attributes assigned to them.
"""
for job in failedJobs:
try:
taskName = job['task']
workflow = job['workflow']
except KeyError as ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (
str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
coll = CouchCollection(database=self.database,
url=self.url,
name=workflow,
type=CollectionTypes.DataCollection)
fileset = CouchFileset(database=self.database,
url=self.url,
name=taskName)
coll.addFileset(fileset)
if useMask:
fileset.add(files=job['input_files'], mask=job['mask'])
else:
fileset.add(files=job['input_files'])
return
def failedJobs(self, failedJobs, useMask=True):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow attributes assigned to them.
"""
# first we sort the list of dictionary by two keys: workflow then task
failedJobs.sort(key=itemgetter('workflow'))
failedJobs.sort(key=itemgetter('task'))
previousWorkflow = ""
previousTask = ""
for job in failedJobs:
try:
workflow = job['workflow']
taskName = job['task']
except KeyError as ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (
str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
if workflow != previousWorkflow:
coll = CouchCollection(database=self.database,
url=self.url,
name=workflow,
type=CollectionTypes.DataCollection)
if taskName != previousTask:
fileset = CouchFileset(database=self.database,
url=self.url,
name=taskName)
coll.addFileset(fileset)
inputFiles = job['input_files']
for fInfo in inputFiles:
if int(fInfo["merged"]
) == 1: # Looks like Oracle and MySQL return diff type
fInfo["parents"] = []
elif fInfo.get("parents", []):
firstParent = next(iter(fInfo["parents"]))
if "/store/unmerged/" in firstParent:
# parents and input files are unmerged files - need to find merged ascendant
fInfo["parents"] = list(
getMergedParents(fInfo["parents"]))
elif "MCFakeFile" in firstParent:
fInfo["parents"] = []
# other case, fInfo["parents"] all or merged parents
if useMask:
fileset.add(files=inputFiles, mask=job['mask'])
else:
fileset.add(files=inputFiles)
previousWorkflow = workflow
previousTask = taskName
return
def run(self):
lfn = self.lfn
if self.v:
print "Starting for", lfn
now = time.mktime(time.gmtime())
fileInfo = self.fi
requestObject = self.ro
fileRuns = {}
acdcCouchUrl = self.ac
acdcCouchDb = self.acd
filesetName = self.fsn
collection = self.c
self.lumis = 0
self.files = 0
for run in fileInfo['runs']:
if run in requestObject['lumis']:
for lumi in fileInfo['runs'][run][0]:
if lumi in requestObject['lumis'][run]:
if run not in fileRuns:
fileRuns[run] = []
fileRuns[run].append(lumi)
self.lumis += 1
if fileRuns:
self.files += 1
fileset = CouchFileset(
**{
"url": acdcCouchUrl,
"database": acdcCouchDb,
"name": filesetName
})
fileset.setCollection(collection)
acdcRuns = []
for run in fileRuns:
runObject = {}
runObject['run_number'] = int(run)
runObject['lumis'] = fileRuns[run]
acdcRuns.append(runObject)
acdcFile = {
"lfn": lfn,
"first_event": 0,
"last_event": 0,
"checksums": {},
"size": fileInfo["size"],
"events": fileInfo["events"],
"merged": 1,
"parents": fileInfo["parents"],
"locations": fileInfo["locations"],
"runs": acdcRuns
}
#
fileset.makeFilelist({lfn: acdcFile})
if self.v:
print time.mktime(
time.gmtime()) - now, "[s] for makeFilelist", lfn
def failedJobs(self, failedJobs, useMask=True):
"""
_failedJobs_
Given a list of failed jobs, sort them into Filesets and record them
NOTE: jobs must have a non-standard task, workflow attributes assigned to them.
"""
for job in failedJobs:
try:
taskName = job['task']
workflow = job['workflow']
except KeyError as ex:
msg = "Missing required, non-standard key %s in job in ACDC.DataCollectionService" % (
str(ex))
logging.error(msg)
raise ACDCDCSException(msg)
coll = CouchCollection(database=self.database,
url=self.url,
name=workflow,
type=CollectionTypes.DataCollection)
fileset = CouchFileset(database=self.database,
url=self.url,
name=taskName)
coll.addFileset(fileset)
inputFiles = job['input_files']
for fInfo in inputFiles:
if fInfo["merged"] and ("parents" in fInfo) and \
len(fInfo["parents"]) and ("/store/unmerged/" in next(iter(fInfo["parents"]))):
# remove parents files from acdc doucment if they are unmerged files
fInfo["parents"] = []
if useMask:
fileset.add(files=inputFiles, mask=job['mask'])
else:
fileset.add(files=inputFiles)
return
def testListCollectionsFilesets(self):
"""
_testListCollectionsFilesets_
Verify that collections and filesets in ACDC can be listed.
"""
svc = CouchService(url = self.testInit.couchUrl,
database = self.testInit.couchDbName)
ownerA = svc.newOwner("somegroup", "someuserA")
ownerB = svc.newOwner("somegroup", "someuserB")
testCollectionA = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionA.setOwner(ownerA)
testCollectionB = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Struckthunder")
testCollectionB.setOwner(ownerA)
testCollectionC = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionC.setOwner(ownerB)
testCollectionD = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionD.setOwner(ownerB)
testFilesetA = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetA")
testCollectionA.addFileset(testFilesetA)
testFilesetB = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetB")
testCollectionB.addFileset(testFilesetB)
testFilesetC = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetC")
testCollectionC.addFileset(testFilesetC)
testFilesetD = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetD")
testCollectionC.addFileset(testFilesetD)
testFiles = []
for i in range(5):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA.add(testFiles)
testFilesetB.add(testFiles)
testFilesetC.add(testFiles)
testFilesetD.add(testFiles)
goldenCollectionNames = ["Thunderstruck", "Struckthunder"]
for collection in svc.listCollections(ownerA):
self.assertTrue(collection["name"] in goldenCollectionNames,
"Error: Missing collection name.")
goldenCollectionNames.remove(collection["name"])
self.assertEqual(len(goldenCollectionNames), 0,
"Error: Missing collections.")
goldenFilesetNames = ["TestFilesetC", "TestFilesetD"]
for fileset in svc.listFilesets(testCollectionD):
self.assertTrue(fileset["name"] in goldenFilesetNames,
"Error: Missing fileset.")
goldenFilesetNames.remove(fileset["name"])
self.assertEqual(len(goldenFilesetNames), 0,
"Error: Missing filesets.")
return
def populateCouchDB(self):
"""
_populateCouchDB_
Populate the ACDC records
"""
svc = CouchService(url=self.testInit.couchUrl,
database=self.testInit.couchDbName)
testCollectionA = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionB = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Struckthunder")
testCollectionC = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionD = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testFilesetA = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetA")
testCollectionA.addFileset(testFilesetA)
testFilesetB = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetB")
testCollectionB.addFileset(testFilesetB)
testFilesetC = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetC")
testCollectionC.addFileset(testFilesetC)
testFilesetD = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetD")
testCollectionC.addFileset(testFilesetD)
testFiles = []
for i in range(5):
testFile = File(lfn=makeUUID(),
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA.add(testFiles)
time.sleep(1)
testFilesetB.add(testFiles)
time.sleep(1)
testFilesetC.add(testFiles)
time.sleep(2)
testFilesetD.add(testFiles)
def defineRequests(workload, requestInfo,
acdcCouchUrl, acdcCouchDb,
requestor, group,
dbsUrl,
fakeLocation,
datasetInformation = None):
"""
_defineRequests_
This is the ultimate function,
it will create JSONs for the appropiate resubmission requests
that can be feed into the reqmgr.py script and it will assemble
acdc records that can be uploaded to the database.
"""
# First retrieve the run and block lists and load
# the information of all datasets
logging.debug("Original request info:\n%s", requestInfo)
topTask = workload.getTopLevelTask()[0]
runWhitelist = topTask.inputRunWhitelist()
runBlacklist = topTask.inputRunBlacklist()
blockWhitelist = topTask.inputBlockWhitelist()
blockBlacklist = topTask.inputBlockBlacklist()
inputDataset = workload.listInputDatasets()[0]
outputModules = getOutputModules(workload)
if datasetInformation is None:
datasetInformation = {}
logging.info("Loading DBS information for the datasets...")
datasetInformation[inputDataset] = getFiles(inputDataset, runBlacklist, runWhitelist,
blockBlacklist, blockWhitelist, dbsUrl, fakeLocation=fakeLocation)
for dataset in workload.listOutputDatasets():
datasetInformation[dataset] = getFiles(dataset, runBlacklist, runWhitelist, blockBlacklist, blockWhitelist, dbsUrl)
logging.info("Finished loading DBS information for the datasets...")
# Now get the information about the datasets and tasks
nodes, edges = buildDatasetTree(workload)
logging.info("Dataset tree built...")
for k,v in nodes.items():
logging.debug("%s : %s" % (k,v))
for k,v in edges.items():
logging.debug("%s : %s" % (k,v))
# Load the difference information between input and outputs
differenceInformation = buildDifferenceMap(workload, datasetInformation)
logging.info("Difference map processed...")
logging.debug("%s" % str(differenceInformation))
# Define an object that will hold the potential requests
requests = []
logging.info("Now definining the required requests...")
# First generate requests for the datasets with children, that way we can
# shoot the requests with skims in single requests
for dataset in differenceInformation.keys():
if dataset not in nodes:
continue
datasetsToRecover = [dataset]
diffedLumis = differenceInformation[dataset]
taskToRecover = edges[(inputDataset, dataset)]['task']
outputModulesToRecover = edges[(inputDataset,dataset)]['outMod']
intersectionDiff = {}
for childDataset in nodes[dataset]:
childDiffLumis = differenceInformation[childDataset]
matchAvailable = False
for run in diffedLumis:
if run in childDiffLumis:
for lumi in diffedLumis[run]:
if lumi in childDiffLumis[run]:
matchAvailable = True
break
if matchAvailable:
outputModulesToRecover.extend(edges[(dataset, childDataset)]['outMod'])
datasetsToRecover.append(childDataset)
for run in diffedLumis:
if run in childDiffLumis:
if run not in intersectionDiff:
intersectionDiff[run] = set()
intersectionDiff[run] = diffedLumis[run] & childDiffLumis[run]
else:
intersectionDiff[run] &= diffedLumis[run] & childDiffLumis[run]
else:
intersectionDiff[run] = set()
for run in intersectionDiff:
if not intersectionDiff[run]:
del intersectionDiff[run]
if not intersectionDiff:
# Can't create request for this dataset + children
continue
for run in intersectionDiff:
for childDataset in nodes[dataset]:
childDiffLumis = differenceInformation[childDataset]
if run in childDiffLumis:
childDiffLumis[run] -= intersectionDiff[run]
if not childDiffLumis[run]:
del childDiffLumis[run]
diffedLumis[run] -= intersectionDiff[run]
if not diffedLumis[run]:
del diffedLumis[run]
if not diffedLumis:
del differenceInformation[dataset]
for childDataset in nodes[dataset]:
if not differenceInformation[childDataset]:
del differenceInformation[childDataset]
requestObject = {'task' : taskToRecover,
'input' : inputDataset,
'lumis' : intersectionDiff,
'outMod' : outputModulesToRecover,
'outputs' : datasetsToRecover}
requests.append(requestObject)
# Now go through all the output datasets, creating a single request for
# each
for dataset in differenceInformation:
datasetsToRecover = [dataset]
diffedLumis = differenceInformation[dataset]
if (inputDataset, dataset) in edges:
taskToRecover = edges[(inputDataset, dataset)]['task']
outputModulesToRecover = edges[(inputDataset,dataset)]['outMod']
parentDataset = inputDataset
else:
for parentDataset in nodes:
if dataset in nodes[parentDataset]:
taskToRecover = edges[(parentDataset, dataset)]['task']
outputModulesToRecover = edges[(parentDataset,dataset)]['outMod']
break
requestObject = {'task' : taskToRecover,
'input' : parentDataset,
'lumis' : diffedLumis,
'outMod' : outputModulesToRecover,
'outputs' : datasetsToRecover}
requests.append(requestObject)
logging.info("About to upload ACDC records to: %s/%s" % (acdcCouchUrl, acdcCouchDb))
pprint(requests)
# With the request objects we need to build ACDC records and
# request JSONs
for idx, requestObject in enumerate(requests):
collectionName = '%s_%s' % (workload.name(), str(uuid.uuid1()))
filesetName = requestObject['task']
collection = CouchCollection(**{"url" : acdcCouchUrl,
"database" : acdcCouchDb,
"name" : collectionName})
owner = makeUser(workload.getOwner()['group'], workload.getOwner()['name'], acdcCouchUrl, acdcCouchDb)
collection.setOwner(owner)
files = 0
lumis = 0
for lfn in datasetInformation[requestObject['input']]:
fileInfo = datasetInformation[requestObject['input']][lfn]
fileRuns = {}
for run in fileInfo['runs']:
if run in requestObject['lumis']:
for lumi in fileInfo['runs'][run][0]:
if lumi in requestObject['lumis'][run]:
if run not in fileRuns:
fileRuns[run] = []
fileRuns[run].append(lumi)
lumis += 1
if fileRuns:
files += 1
fileset = CouchFileset(**{"url" : acdcCouchUrl,
"database" : acdcCouchDb,
"name" : filesetName})
fileset.setCollection(collection)
acdcRuns = []
for run in fileRuns:
runObject = {}
runObject['run_number'] = int(run)
runObject['lumis'] = fileRuns[run]
acdcRuns.append(runObject)
acdcFile = {"lfn" : lfn,
"first_event" : 0,
"last_event" : 0,
"checksums" : {},
"size" : fileInfo["size"],
"events" : fileInfo["events"],
"merged" : 1,
"parents" : fileInfo["parents"],
"locations" : fileInfo["locations"],
"runs" : acdcRuns
}
fileset.makeFilelist({lfn : acdcFile})
# Put the creation parameters
creationDict = jsonBlob["createRequest"]
creationDict["OriginalRequestName"] = str(workload.name())
creationDict["InitialTaskPath"] = requestObject['task']
creationDict["CollectionName"] = collectionName
creationDict["IgnoredOutputModules"] = list(set(outputModules) - set(requestObject['outMod']))
creationDict["ACDCServer"] = acdcCouchUrl
creationDict["ACDCDatabase"] = acdcCouchDb
creationDict["RequestString"] = "recovery-%d-%s" % (idx, workload.name()[:-18])
creationDict["Requestor"] = requestor
creationDict["Group"] = group
creationDict["TimePerEvent"] = requestInfo['TimePerEvent']
creationDict["Memory"] = requestInfo['Memory']
creationDict["SizePerEvent"] = requestInfo['SizePerEvent']
creationDict["PrepID"] = requestInfo.get('PrepID')
creationDict["Campaign"] = requestInfo.get('Campaign')
# Assign parameters
assignDict = jsonBlob["assignRequest"]
team = requestInfo['Teams'][0]
processingString = requestInfo['ProcessingString']
processingVersion = requestInfo['ProcessingVersion']
acqEra = requestInfo['AcquisitionEra']
mergedLFNBase = requestInfo['MergedLFNBase']
unmergedLFNBase = requestInfo['UnmergedLFNBase']
#processingString = workload.getProcessingString()
#processingVersion = workload.getProcessingVersion()
#acqEra = workload.getAcquisitionEra()
#mergedLFNBase = workload.getMergedLFNBase()
#unmergedLFNBase = workload.getUnmergedLFNBase()
topTask = workload.getTopLevelTask()[0]
siteWhitelist = topTask.siteWhitelist()
assignDict["SiteWhitelist"] = siteWhitelist
assignDict["MergedLFNBase"] = mergedLFNBase
assignDict["UnmergedLFNBase"] = unmergedLFNBase
assignDict["AcquisitionEra"] = acqEra
assignDict["Team"] = team
try:
int(processingVersion)
assignDict["ProcessingVersion"] = int(processingVersion)
if processingString is not None and processingString != 'None':
assignDict["ProcessingString"] = processingString
except Exception:
tokens = processingVersion.split('-')
assignDict["ProcessingVersion"] = int(tokens[-1][1:])
assignDict["ProcessingString"] = ('-').join(tokens[:-1])
fileHandle = open('%s.json' % creationDict["RequestString"], 'w')
json.dump(jsonBlob, fileHandle)
fileHandle.close()
logging.info("Created JSON %s for recovery of %s" % ('%s.json' % creationDict["RequestString"],
requestObject['outputs']))
logging.info("This will recover %d lumis in %d files" % (lumis, files))
def testCreatePopulateDrop(self):
"""
_testCreatePopulateDrop_
Test creating, populating and dropping a collection.
"""
testCollectionA = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionB = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "StruckThunder")
testCollectionA.setOwner(self.owner)
testCollectionB.setOwner(self.owner)
testCollectionA.create()
testCollectionB.create()
# There should be nothing in couch. Documents are only added for
# filesets and files.
testFilesA = []
for i in range(5):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFilesA.append(testFile)
testFilesB = []
for i in range(10):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFilesB.append(testFile)
testFilesetA = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetA")
testFilesetB = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetB")
testFilesetC = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetC")
testCollectionA.addFileset(testFilesetA)
testCollectionB.addFileset(testFilesetB)
testCollectionB.addFileset(testFilesetC)
testFilesetA.add(testFilesA)
testFilesetB.add(testFilesA)
testFilesetC.add(testFilesA)
testFilesetC.add(testFilesB)
# Drop testCollectionA
testCollectionA.drop()
# Try to populate testFilesetA
testCollectionC = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "ThunderStruck")
testCollectionC.setOwner(self.owner)
testCollectionC.populate()
self.assertEqual(len(testCollectionC["filesets"]), 0,
"Error: There should be no filesets in this collect.")
# Try to populate testFilesetB
testCollectionD = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "StruckThunder")
testCollectionD.setOwner(self.owner)
testCollectionD.populate()
for fileset in testCollectionD["filesets"]:
testFiles = testFilesA
if fileset["name"] == "TestFilesetC":
testFiles.extend(testFilesB)
self.assertEqual(len(testFiles), len(fileset.files.keys()),
"Error: Wrong number of files in fileset.")
for testFile in testFiles:
self.assertTrue(testFile["lfn"] in fileset.files.keys(),
"Error: File is missing.")
self.assertEqual(testFile["events"],
fileset.files[testFile["lfn"]]["events"],
"Error: Wrong number of events.")
self.assertEqual(testFile["size"],
fileset.files[testFile["lfn"]]["size"],
"Error: Wrong file size.")
return
def testListCollectionsFilesets(self):
"""
_testListCollectionsFilesets_
Verify that collections and filesets in ACDC can be listed.
"""
svc = CouchService(url=self.testInit.couchUrl,
database=self.testInit.couchDbName)
testCollectionA = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionB = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Struckthunder")
testCollectionC = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionD = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testFilesetA = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetA")
testCollectionA.addFileset(testFilesetA)
testFilesetB = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetB")
testCollectionB.addFileset(testFilesetB)
testFilesetC = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetC")
testCollectionC.addFileset(testFilesetC)
testFilesetD = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetD")
testCollectionC.addFileset(testFilesetD)
testFiles = []
for i in range(5):
testFile = File(lfn=makeUUID(),
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA.add(testFiles)
testFilesetB.add(testFiles)
testFilesetC.add(testFiles)
testFilesetD.add(testFiles)
goldenFilesetNames = ["TestFilesetA", "TestFilesetC", "TestFilesetD"]
for fileset in svc.listFilesets(testCollectionD):
self.assertTrue(fileset["name"] in goldenFilesetNames,
"Error: Missing fileset.")
goldenFilesetNames.remove(fileset["name"])
self.assertEqual(len(goldenFilesetNames), 0,
"Error: Missing filesets.")
return
def testDropCount(self):
"""
_testDropCount_
Verify that dropping a fileset and counting the files in a fileset works
correctly.
"""
testCollectionA = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionB = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="StruckThunder")
testFiles = []
for i in range(5):
testFile = File(lfn=makeUUID(),
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetA")
testFilesetB = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetB")
testFilesetC = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetC")
testCollectionA.addFileset(testFilesetA)
testCollectionB.addFileset(testFilesetB)
testCollectionB.addFileset(testFilesetC)
testFilesetA.add(testFiles)
testFilesetB.add(testFiles)
testFilesetC.add(testFiles)
testFilesetC.drop()
testCollectionC = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="StruckThunder")
testCollectionC.populate()
self.assertEqual(
len(testCollectionC["filesets"]), 1,
"Error: There should be one fileset in this collection.")
self.assertEqual(testCollectionC["filesets"][0].fileCount(), 5,
"Error: Wrong number of files in fileset.")
testCollectionD = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionD.populate()
self.assertEqual(
len(testCollectionD["filesets"]), 1,
"Error: There should be one fileset in this collection.")
self.assertEqual(testCollectionD["filesets"][0].fileCount(), 5,
"Error: Wrong number of files in fileset.")
return
def populateCouchDB(self):
"""
_populateCouchDB_
Populate the ACDC records
"""
svc = CouchService(url=self.testInit.couchUrl, database=self.testInit.couchDbName)
ownerA = svc.newOwner("somegroup", "someuserA")
ownerB = svc.newOwner("somegroup", "someuserB")
testCollectionA = CouchCollection(
database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="Thunderstruck"
)
testCollectionA.setOwner(ownerA)
testCollectionB = CouchCollection(
database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="Struckthunder"
)
testCollectionB.setOwner(ownerA)
testCollectionC = CouchCollection(
database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="Thunderstruck"
)
testCollectionC.setOwner(ownerB)
testCollectionD = CouchCollection(
database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="Thunderstruck"
)
testCollectionD.setOwner(ownerB)
testFilesetA = CouchFileset(database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="TestFilesetA")
testCollectionA.addFileset(testFilesetA)
testFilesetB = CouchFileset(database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="TestFilesetB")
testCollectionB.addFileset(testFilesetB)
testFilesetC = CouchFileset(database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="TestFilesetC")
testCollectionC.addFileset(testFilesetC)
testFilesetD = CouchFileset(database=self.testInit.couchDbName, url=self.testInit.couchUrl, name="TestFilesetD")
testCollectionC.addFileset(testFilesetD)
testFiles = []
for i in range(5):
testFile = File(lfn=makeUUID(), size=random.randint(1024, 4096), events=random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA.add(testFiles)
time.sleep(1)
testFilesetB.add(testFiles)
time.sleep(1)
testFilesetC.add(testFiles)
time.sleep(2)
testFilesetD.add(testFiles)
def defineRequests(workload,
requestInfo,
acdcCouchUrl,
acdcCouchDb,
requestor,
group,
dbsUrl,
datasetInformation=None):
"""
_defineRequests_
This is the ultimate function,
it will create JSONs for the appropiate resubmission requests
that can be feed into the reqmgr.py script and it will assemble
acdc records that can be uploaded to the database.
"""
# First retrieve the run and block lists and load
# the information of all datasets
topTask = workload.getTopLevelTask()[0]
runWhitelist = topTask.inputRunWhitelist()
runBlacklist = topTask.inputRunBlacklist()
blockWhitelist = topTask.inputBlockWhitelist()
blockBlacklist = topTask.inputBlockBlacklist()
inputDataset = workload.listInputDatasets()[0]
outputModules = getOutputModules(workload)
if datasetInformation is None:
datasetInformation = {}
logging.info("Loading DBS information for the datasets...")
datasetInformation[inputDataset] = getFiles(inputDataset, runBlacklist,
runWhitelist,
blockBlacklist,
blockWhitelist, dbsUrl)
for dataset in workload.listOutputDatasets():
datasetInformation[dataset] = getFiles(dataset, runBlacklist,
runWhitelist,
blockBlacklist,
blockWhitelist, dbsUrl)
logging.info("Finished loading DBS information for the datasets...")
# Now get the information about the datasets and tasks
nodes, edges = buildDatasetTree(workload)
logging.info("Dataset tree built...")
for k, v in nodes.items():
logging.debug("%s : %s" % (k, v))
for k, v in edges.items():
logging.debug("%s : %s" % (k, v))
# Load the difference information between input and outputs
differenceInformation = buildDifferenceMap(workload, datasetInformation)
logging.info("Difference map processed...")
logging.debug("%s" % str(differenceInformation))
# Define an object that will hold the potential requests
requests = []
logging.info("Now definining the required requests...")
# First generate requests for the datasets with children, that way we can
# shoot the requests with skims in single requests
for dataset in differenceInformation.keys():
if dataset not in nodes:
continue
datasetsToRecover = [dataset]
diffedLumis = differenceInformation[dataset]
taskToRecover = edges[(inputDataset, dataset)]['task']
outputModulesToRecover = edges[(inputDataset, dataset)]['outMod']
intersectionDiff = {}
for childDataset in nodes[dataset]:
childDiffLumis = differenceInformation[childDataset]
matchAvailable = False
for run in diffedLumis:
if run in childDiffLumis:
for lumi in diffedLumis[run]:
if lumi in childDiffLumis[run]:
matchAvailable = True
break
if matchAvailable:
outputModulesToRecover.extend(edges[(dataset,
childDataset)]['outMod'])
datasetsToRecover.append(childDataset)
for run in diffedLumis:
if run in childDiffLumis:
if run not in intersectionDiff:
intersectionDiff[run] = set()
intersectionDiff[
run] = diffedLumis[run] & childDiffLumis[run]
else:
intersectionDiff[
run] &= diffedLumis[run] & childDiffLumis[run]
else:
intersectionDiff[run] = set()
for run in intersectionDiff:
if not intersectionDiff[run]:
del intersectionDiff[run]
if not intersectionDiff:
# Can't create request for this dataset + children
continue
for run in intersectionDiff:
for childDataset in nodes[dataset]:
childDiffLumis = differenceInformation[childDataset]
if run in childDiffLumis:
childDiffLumis[run] -= intersectionDiff[run]
if not childDiffLumis[run]:
del childDiffLumis[run]
diffedLumis[run] -= intersectionDiff[run]
if not diffedLumis[run]:
del diffedLumis[run]
if not diffedLumis:
del differenceInformation[dataset]
for childDataset in nodes[dataset]:
if not differenceInformation[childDataset]:
del differenceInformation[childDataset]
requestObject = {
'task': taskToRecover,
'input': inputDataset,
'lumis': intersectionDiff,
'outMod': outputModulesToRecover,
'outputs': datasetsToRecover
}
requests.append(requestObject)
# Now go through all the output datasets, creating a single request for
# each
for dataset in differenceInformation:
datasetsToRecover = [dataset]
diffedLumis = differenceInformation[dataset]
if (inputDataset, dataset) in edges:
taskToRecover = edges[(inputDataset, dataset)]['task']
outputModulesToRecover = edges[(inputDataset, dataset)]['outMod']
parentDataset = inputDataset
else:
for parentDataset in nodes:
if dataset in nodes[parentDataset]:
taskToRecover = edges[(parentDataset, dataset)]['task']
outputModulesToRecover = edges[(parentDataset,
dataset)]['outMod']
break
requestObject = {
'task': taskToRecover,
'input': parentDataset,
'lumis': diffedLumis,
'outMod': outputModulesToRecover,
'outputs': datasetsToRecover
}
requests.append(requestObject)
logging.info("About to upload ACDC records to: %s/%s" %
(acdcCouchUrl, acdcCouchDb))
# With the request objects we need to build ACDC records and
# request JSONs
pprint(requests)
for idx, requestObject in enumerate(requests):
collectionName = '%s_%s' % (workload.name(), str(uuid.uuid1()))
filesetName = requestObject['task']
collection = CouchCollection(**{
"url": acdcCouchUrl,
"database": acdcCouchDb,
"name": collectionName
})
owner = makeUser(workload.getOwner()['group'],
workload.getOwner()['name'], acdcCouchUrl,
acdcCouchDb)
collection.setOwner(owner)
files = 0
lumis = 0
for lfn in datasetInformation[requestObject['input']]:
fileInfo = datasetInformation[requestObject['input']][lfn]
fileRuns = {}
for run in fileInfo['runs']:
if run in requestObject['lumis']:
for lumi in fileInfo['runs'][run][0]:
if lumi in requestObject['lumis'][run]:
if run not in fileRuns:
fileRuns[run] = []
fileRuns[run].append(lumi)
lumis += 1
if fileRuns:
files += 1
fileset = CouchFileset(
**{
"url": acdcCouchUrl,
"database": acdcCouchDb,
"name": filesetName
})
fileset.setCollection(collection)
acdcRuns = []
for run in fileRuns:
runObject = {}
runObject['run_number'] = int(run)
runObject['lumis'] = fileRuns[run]
acdcRuns.append(runObject)
acdcFile = {
"lfn": lfn,
"first_event": 0,
"last_event": 0,
"checksums": {},
"size": fileInfo["size"],
"events": fileInfo["events"],
"merged": 1,
"parents": fileInfo["parents"],
"locations": fileInfo["locations"],
"runs": acdcRuns
}
fileset.makeFilelist({lfn: acdcFile})
# Put the creation parameters
creationDict = jsonBlob["createRequest"]
creationDict["OriginalRequestName"] = str(workload.name())
creationDict["InitialTaskPath"] = requestObject['task']
creationDict["CollectionName"] = collectionName
creationDict["IgnoredOutputModules"] = list(
set(outputModules) - set(requestObject['outMod']))
creationDict["ACDCServer"] = acdcCouchUrl
creationDict["ACDCDatabase"] = acdcCouchDb
creationDict["RequestString"] = "recovery-%d-%s" % (
idx, workload.name()[:-18])
creationDict["Requestor"] = requestor
creationDict["Group"] = group
# Assign parameters
assignDict = jsonBlob["assignRequest"]
team = requestInfo['teams'][0]
processingString = workload.getProcessingString()
processingVersion = workload.getProcessingVersion()
acqEra = workload.getAcquisitionEra()
mergedLFNBase = workload.getMergedLFNBase()
unmergedLFNBase = workload.getUnmergedLFNBase()
topTask = workload.getTopLevelTask()[0]
siteWhitelist = topTask.siteWhitelist()
assignDict["SiteWhitelist"] = siteWhitelist
assignDict["MergedLFNBase"] = mergedLFNBase
assignDict["UnmergedLFNBase"] = unmergedLFNBase
assignDict["AcquisitionEra"] = acqEra
assignDict["Team"] = team
try:
int(processingVersion)
assignDict["ProcessingVersion"] = int(processingVersion)
if processingString is not None and processingString != 'None':
assignDict["ProcessingString"] = processingString
except Exception:
tokens = processingVersion.split('-')
assignDict["ProcessingVersion"] = int(tokens[-1][1:])
assignDict["ProcessingString"] = ('-').join(tokens[:-1])
fileHandle = open('%s.json' % creationDict["RequestString"], 'w')
json.dump(jsonBlob, fileHandle)
fileHandle.close()
logging.info("Created JSON %s for recovery of %s" %
('%s.json' % creationDict["RequestString"],
requestObject['outputs']))
logging.info("This will recover %d lumis in %d files" % (lumis, files))
def testCreatePopulateDrop(self):
"""
_testCreatePopulateDrop_
Test creating, populating and dropping a collection.
"""
testCollectionA = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="Thunderstruck")
testCollectionB = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="StruckThunder")
testCollectionA.setOwner(self.owner)
testCollectionB.setOwner(self.owner)
testCollectionA.create()
testCollectionB.create()
# There should be nothing in couch. Documents are only added for
# filesets and files.
testFilesA = []
for i in range(5):
testFile = File(lfn=makeUUID(),
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFilesA.append(testFile)
testFilesB = []
for i in range(10):
testFile = File(lfn=makeUUID(),
size=random.randint(1024, 4096),
events=random.randint(1024, 4096))
testFilesB.append(testFile)
testFilesetA = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetA")
testFilesetB = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetB")
testFilesetC = CouchFileset(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="TestFilesetC")
testCollectionA.addFileset(testFilesetA)
testCollectionB.addFileset(testFilesetB)
testCollectionB.addFileset(testFilesetC)
testFilesetA.add(testFilesA)
testFilesetB.add(testFilesA)
testFilesetC.add(testFilesA)
testFilesetC.add(testFilesB)
# Drop testCollectionA
testCollectionA.drop()
# Try to populate testFilesetA
testCollectionC = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="ThunderStruck")
testCollectionC.setOwner(self.owner)
testCollectionC.populate()
self.assertEqual(
len(testCollectionC["filesets"]), 0,
"Error: There should be no filesets in this collect.")
# Try to populate testFilesetB
testCollectionD = CouchCollection(database=self.testInit.couchDbName,
url=self.testInit.couchUrl,
name="StruckThunder")
testCollectionD.setOwner(self.owner)
testCollectionD.populate()
for fileset in testCollectionD["filesets"]:
testFiles = testFilesA
if fileset["name"] == "TestFilesetC":
testFiles.extend(testFilesB)
self.assertEqual(len(testFiles), len(fileset.files.keys()),
"Error: Wrong number of files in fileset.")
for testFile in testFiles:
self.assertTrue(testFile["lfn"] in fileset.files.keys(),
"Error: File is missing.")
self.assertEqual(testFile["events"],
fileset.files[testFile["lfn"]]["events"],
"Error: Wrong number of events.")
self.assertEqual(testFile["size"],
fileset.files[testFile["lfn"]]["size"],
"Error: Wrong file size.")
return
def testDropCount(self):
"""
_testDropCount_
Verify that dropping a fileset and counting the files in a fileset works
correctly.
"""
testCollectionA = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionB = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "StruckThunder")
testCollectionA.setOwner(self.owner)
testCollectionB.setOwner(self.owner)
testFiles = []
for i in range(5):
testFile = File(lfn = makeUUID(), size = random.randint(1024, 4096),
events = random.randint(1024, 4096))
testFiles.append(testFile)
testFilesetA = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetA")
testFilesetB = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetB")
testFilesetC = CouchFileset(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "TestFilesetC")
testCollectionA.addFileset(testFilesetA)
testCollectionB.addFileset(testFilesetB)
testCollectionB.addFileset(testFilesetC)
testFilesetA.add(testFiles)
testFilesetB.add(testFiles)
testFilesetC.add(testFiles)
testFilesetC.drop()
testCollectionC = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "StruckThunder")
testCollectionC.setOwner(self.owner)
testCollectionC.populate()
self.assertEqual(len(testCollectionC["filesets"]), 1,
"Error: There should be one fileset in this collection.")
self.assertEqual(testCollectionC["filesets"][0].fileCount(), 5,
"Error: Wrong number of files in fileset.")
testCollectionD = CouchCollection(database = self.testInit.couchDbName,
url = self.testInit.couchUrl,
name = "Thunderstruck")
testCollectionD.setOwner(self.owner)
testCollectionD.populate()
self.assertEqual(len(testCollectionD["filesets"]), 1,
"Error: There should be one fileset in this collection.")
self.assertEqual(testCollectionD["filesets"][0].fileCount(), 5,
"Error: Wrong number of files in fileset.")
return